ABSTRACT
introduction: In Uganda, over 43% of all pregnancies among young women (15-24 years) living with HIV are either unwanted or mistimed. Unintended pregnancies account for 21.3% of neonatal HIV infections. The objective was to determine acceptability of contraceptives and associated factors among young women living with HIV attending HIV clinics in Kampala. Methods: Between February and May 2019, 450 young women attending public HIV clinics (Kisenyi HC IV, Kiswa HC III and Komamboga HC III) in Kampala were systematically enrolled in a cross-sectional study and interviewed using structured questionnaires. We used modified Poisson regression to determine the factors associated with acceptability of contraceptive. Data were analyzed using STATA 13.0. Statistical significance was determined at a P values < 0.05. Results: Contraceptive acceptability was 40.7% (95% CI: 27.6%-53.6%). Older age group (20-24 years) (aPR; 2.42, 95%CI; 1.06-5.52, P = 0.035), age at sex debut ≥ 18 years (aPR;1.25,95%CI; 1.13-1.38, P<0.001), having friend on contraceptives (aPR; 1.90, 95%CI; 1.10 - 3.26; P =0.021) and being married (aPR; 1.20, 95%CI; 1.09 - 1.32, P<0.001) were significantly associated with acceptability of contraceptives. Conclusion: There is a low acceptability for contraceptives. Younger age group who are not yet married need to be targeted
Subject(s)
Patient Acceptance of Health Care , Acquired Immunodeficiency Syndrome , HIV , Pregnancy, High-Risk , Contraception , Uganda , Women , Young AdultABSTRACT
Introduction: a malaria epidemic has been confirmed in ten former IRS districts. Given the recent malaria control interventions, a sustained decline in the malaria cases would have been expected. Thus the need for a descriptive analysis on the trends in malaria morbidity in these districts among under 5yr olds for the past 3 financial years to help inform the Ministry of Health and predict future malaria epidemics. The objective of the analysis was to describe annual seasonal trends and peaks in prevalence in malaria morbidity among under 5yr olds over the past three financial years in former IRS districts. Describe the difference in incidence of malaria for the under 5yr olds among all the districts under study for the given period.Methods: a desk review of all under 5yr old malaria cases and malaria control interventions for the past three financial years in the given districts were conducted.Results: there are two malaria seasons each year from April to July and September to November which coincides with the rainy seasons. The peaks in prevalence for all the districts were in June 2015. For the past three financial years, 7/9 districts each had a higher malaria incidence than Lamwo district which has 100% coverage of iCCM (P < 0.001). Conclusion: the rainy seasons present an opportunity for malaria epidemics, iCCM seems to have an effect in reducing the incidence of malaria among under 5yr olds at health facilities. We recommended surveillance and monitoring of trends in malaria cases especially during the rainy season for early detection of epidemics; and assessment of the actual impact of iCCM on the reduction of malaria incidence
ABSTRACT
Introduction: a malaria epidemic has been confirmed in ten former IRS districts. Given the recent malaria control interventions, a sustained decline in the malaria cases would have been expected. Thus the need for a descriptive analysis on the trends in malaria morbidity in these districts among under 5yr olds for the past 3 financial years to help inform the Ministry of Health and predict future malaria epidemics. The objective of the analysis was to describe annual seasonal trends and peaks in prevalence in malaria morbidity among under 5yr olds over the past three financial years in former IRS districts. Describe the difference in incidence of malaria for the under 5yr olds among all the districts under study for the given period.Methods: a desk review of all under 5yr old malaria cases and malaria control interventions for the past three financial years in the given districts were conducted.Results: there are two malaria seasons each year from April to July and September to November which coincides with the rainy seasons. The peaks in prevalence for all the districts were in June 2015. For the past three financial years, 7/9 districts each had a higher malaria incidence than Lamwo district which has 100% coverage of iCCM (P < 0.001). Conclusion: the rainy seasons present an opportunity for malaria epidemics, iCCM seems to have an effect in reducing the incidence of malaria among under 5yr olds at health facilities. We recommended surveillance and monitoring of trends in malaria cases especially during the rainy season for early detection of epidemics; and assessment of the actual impact of iCCM on the reduction of malaria incidence